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authorEric Wieser <wieser.eric@gmail.com>2017-08-01 20:29:36 +0000
committerCharles Harris <charlesr.harris@gmail.com>2017-08-05 10:36:48 -0600
commit2b781f8967488dc007f8f0a1e6a7f49208788d12 (patch)
tree88ad7478e033ce5980a365a479e22b78ba1cecaa /numpy/ma/extras.py
parent5ab02b15de72fa00d785f49c62466fe048264cc4 (diff)
downloadnumpy-2b781f8967488dc007f8f0a1e6a7f49208788d12.tar.gz
MAINT/DOC: Use builtin when np.{x} is builtins.{x}.
This is the case for x in {int, bool, str, float, complex, object}. Using the np.{x} version is deceptive as it suggests that there is a difference. This change doesn't affect any external behaviour. The `long` type is missing in python 3, so np.long is still useful
Diffstat (limited to 'numpy/ma/extras.py')
-rw-r--r--numpy/ma/extras.py4
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/ma/extras.py b/numpy/ma/extras.py
index 9084ae77f..323fbce38 100644
--- a/numpy/ma/extras.py
+++ b/numpy/ma/extras.py
@@ -939,7 +939,7 @@ def mask_rows(a, axis=None):
Examples
--------
>>> import numpy.ma as ma
- >>> a = np.zeros((3, 3), dtype=np.int)
+ >>> a = np.zeros((3, 3), dtype=int)
>>> a[1, 1] = 1
>>> a
array([[0, 0, 0],
@@ -984,7 +984,7 @@ def mask_cols(a, axis=None):
Examples
--------
>>> import numpy.ma as ma
- >>> a = np.zeros((3, 3), dtype=np.int)
+ >>> a = np.zeros((3, 3), dtype=int)
>>> a[1, 1] = 1
>>> a
array([[0, 0, 0],